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In development · early access open

From raw materials to final delivery. Every connection matters.

Tracevia brings production records, supplier information, quality inspections and shipment histories together, so manufacturers and distributors can trace products and investigate quality issues with AI-assisted analysis.

trace / RM-COC-0931Sample data
SupplierMaterial lotBatchShipmentOgun CocoaKano AgroIbadan StarchRM-COC-0931RM-SUG-2208RM-CRN-5521RM-STA-3302PB-2611-014PB-2611-013PB-2611-012PB-2611-011SH-7781SH-7790SH-7774SH-7772SH-7768
6
Linked records
2
Batches in scope
3
Shipments in scope

Click any supplier, lot, batch or shipment to trace it.

Backward + forward
trace from any lot or batch
Documents → data
AI extraction from COAs & reports
Recall scope
affected batches & shipments listed
Grounded answers
every AI answer cites records

The problem

A customer reports a bad product. Now what?

In most plants the answer sits across spreadsheets, paper certificates, ERP exports and WhatsApp threads. The same investigation looks very different depending on whether those records are linked.

Today, without linked records

  1. Day 1

    QA searches production logs for the batch code on the complaint.

  2. Day 1–2

    Someone finds the paper COA folder to check which ingredient lots were used.

  3. Day 2–3

    Emails to warehouse and sales to work out where the batch shipped.

  4. Day 3+

    Decision made on incomplete data — often recalling more stock than needed, or missing affected shipments.

With Tracevia

  1. Minute 1

    Search the batch code. Its lots, supplier COAs and inspections are already linked.

  2. Minute 5

    Trace the suspect lot forward to every batch and shipment that used it.

  3. Minute 10

    AI analysis shows whether the same issue appeared in earlier batches or on other lines.

  4. Same day

    Open an investigation with scope, owner and corrective-action steps recorded.

Timelines are illustrative of a typical manual investigation and the intended Tracevia workflow.

Platform

One connected record for quality, suppliers and shipments

01 / 05

Product Traceability Engine

Trace any lot backward to its source or forward to every customer from a single search.

RM-COC-0931
→ PB-2611-013, PB-2611-014
→ SH-7774, SH-7779, SH-7781, SH-7790
Sample data

How it works

Four steps from scattered records to a traced answer

  1. 01

    Bring in records

    Upload supplier COAs, production reports and inspection sheets, or import batch and shipment lists.

  2. 02

    Link the chain

    Tracevia extracts key fields and connects each lot to the batches and shipments it belongs to.

  3. 03

    Trace and analyse

    Search any code to trace it both ways. AI highlights recurring defects and suspicious lots.

  4. 04

    Investigate and act

    Open an investigation with scope, owner and status, and keep every decision on record.

Interactive demo

Walk through a moisture investigation

Search and filter batches, open a batch to see its genealogy and change its status, follow investigations, inspect an extracted certificate, and ask the assistant. All records are fictional sample data.

app.tracevia.site / Ikeja Foods PlantSample Data
Batches this week
8
On hold
1
Investigating
2
Open investigations
2
BatchProductSupplierDateStatus
Chocolate Malt 400gSupplier B — Ogun Cocoa2026-10-28On hold
Chocolate Malt 400gSupplier B — Ogun Cocoa2026-10-27Investigating
Corn Flakes 500gKano Agro Mills2026-10-27Released
Custard Powder 1kgIbadan Starch Co.2026-10-26Released
Chocolate Malt 900gSupplier B — Ogun Cocoa2026-10-25Released
Corn Flakes 500gKano Agro Mills2026-10-24Released
Custard Powder 1kgIbadan Starch Co.2026-10-23Investigating
Chocolate Malt 400gSupplier B — Ogun Cocoa2026-10-22Released

Who it's for

Built for teams who answer "where did this go?"

Food & beverage and agro-processing

Problem · A complaint about one product means hours searching which ingredient lots went into which batches.

With Tracevia · Register incoming lots with their COAs, link them to batches, and trace complaints in one search.

Pharmaceutical distributors

Problem · Batch numbers, expiry dates and supplier documents live in separate systems and inboxes.

With Tracevia · Keep supplier certificates attached to each batch received and see exactly which customers each batch went to.

Consumer goods manufacturers

Problem · Packaging, ingredient and line issues repeat because inspection notes are never compared.

With Tracevia · Let AI inspection analysis compare defects across lines, shifts and suppliers.

Industrial components & wholesale

Problem · Proving which supplier lot went into a failed part, or which customers received it, is slow and manual.

With Tracevia · Link supplier lots to builds and outbound orders, then scope an issue before calling customers.

Technology

How We Use Amazon Web Services

Tracevia's proposed architecture is serverless on AWS: quality documents land in Amazon S3, Amazon Textract turns them into structured fields, Amazon DynamoDB stores the links between suppliers, lots, batches and shipments, and Amazon Bedrock analyses those linked records to surface defect patterns and answer questions with cited evidence.

01 · Collect
Documents & records
Amazon S3 · API Gateway

Uploads and batch data enter a secure workspace

02 · Extract
Structured fields
Amazon Textract · Lambda

Lot numbers, dates and results pulled from documents

03 · Link
Product genealogy
Amazon DynamoDB

Suppliers → lots → batches → shipments connected

04 · Analyse
Quality intelligence
Amazon Bedrock · EventBridge

Patterns, recall scope and grounded answers

05 · Act
Teams & alerts
Cognito · SES · CloudWatch

Role-based app access, alerts and monitoring

  • Amazon S3: Stores uploaded production reports, certificates of analysis and inspection documents.
  • Amazon Textract: Extracts lot numbers, dates and test results from scanned and PDF quality documents.
  • Amazon Bedrock: Powers inspection pattern analysis and the AI Quality Assistant, grounded in linked records.
  • Amazon DynamoDB: Holds supplier, lot, batch, inspection and shipment records and the links between them.
  • AWS Lambda: Runs document processing, trace queries and investigation workflows.
  • Amazon API Gateway: Exposes secure APIs between the Tracevia web app and backend services.
  • Amazon Cognito: Handles user sign-in and role-based access for each customer workspace.
  • Amazon EventBridge: Schedules recurring quality checks and triggers alerts on new results.
  • Amazon SES: Sends investigation updates and quality alert emails.
  • Amazon CloudWatch: Monitors application health, processing errors and performance.

Progress & early access

Help shape the first release

Tracevia was founded in 2026 and the first version is being built now. The initial release focuses on the essentials quality teams asked for first.

  • Supplier directory and batch registry
  • Production records and document uploads
  • Traceability search, backward and forward
  • AI-assisted quality summaries

Early-access teams get a guided setup with their own records and direct input into the roadmap, including barcode/QR scanning and ERP integrations.

Pricing

Simple monthly plans

Prices in Nigerian naira, billed monthly. Plans become available at launch; early-access teams can request onboarding now.

Starter

Single-site producers getting batch records out of spreadsheets

₦10,000 / month
  • Supplier and raw-material lot registry
  • Production batch records
  • Document uploads with AI field extraction
  • Forward and backward trace search
Request early access

Growth

Most teams

Growing production and QA teams

₦20,000 / month
  • Everything in Starter
  • AI inspection pattern analysis
  • Recall impact investigations
  • AI Quality Assistant with linked evidence
  • Scheduled quality checks and email alerts
Request early access

Enterprise

Multi-facility manufacturers and distributors

₦40,000 / month
  • Everything in Growth
  • Multiple facilities and warehouses
  • Role-based access per team
  • Guided data onboarding
  • Priority support from the founding team
Request early access

Team

The Team Behind Tracevia

Muhideen Ademola

Founder

Muhideen founded Tracevia to give manufacturers and distributors a practical way to trace products and run quality investigations without stitching together spreadsheets, paper certificates and email threads. He leads product, engineering and early customer conversations.

LinkedIn profile

Contact

Talk to the founding team

Questions about traceability for your plant or warehouse, partnerships, or the product roadmap.